Showing 1299 open source projects for "as built"

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  • 1
    A Machine Learning Course with Python

    A Machine Learning Course with Python

    A course about machine learning with Python

    ...The purpose of this project is to provide the most important aspects of Machine Learning by presenting a series of simple and yet comprehensive tutorials using Python. In this project, we built our tutorials using many different well-known Machine Learning frameworks such as Scikit-learn. In this project you will learn what is the definition of Machine Learning? When it started and what is the trending evolution? What are the Machine Learning categories and subcategories? What are the mostly used Machine Learning algorithms and how to implement them?
    Downloads: 4 This Week
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  • 2
    SMAC

    SMAC

    SMAC: The StarCraft Multi-Agent Challenge

    SMAC (StarCraft II Multi-Agent Challenge) is a benchmark environment for cooperative multi-agent reinforcement learning (MARL), based on real-time strategy (RTS) game scenarios in StarCraft II. It allows researchers to test algorithms where multiple units (agents) must collaborate to win battles against built-in game AI opponents. SMAC provides a controlled testbed for studying decentralized execution and centralized training paradigms in MARL.
    Downloads: 0 This Week
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  • 3
    PyTorch Natural Language Processing

    PyTorch Natural Language Processing

    Basic Utilities for PyTorch Natural Language Processing (NLP)

    PyTorch-NLP is a library for Natural Language Processing (NLP) in Python. It’s built with the very latest research in mind, and was designed from day one to support rapid prototyping. PyTorch-NLP comes with pre-trained embeddings, samplers, dataset loaders, metrics, neural network modules and text encoders. It’s open-source software, released under the BSD3 license. With your batch in hand, you can use PyTorch to develop and train your model using gradient descent.
    Downloads: 1 This Week
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  • 4
    imgFlasher

    imgFlasher

    Flash OS images to sdcards and usb drives

    imgFlasher has been built specifically for Embedded and IoT developers in order to flash OS images on SD cards and USB drives. Made primarily for Raspbian, Ubuntu, Debian, Yocto-based images but works with any kind of Linux distribution. imgFlasher is a portable software that doesn't require any installation. The process of flashing OS with imgFlasher is super simple and requires just 3 steps
    Downloads: 11 This Week
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  • 5
    RoboSchool

    RoboSchool

    Open source software for robot simulation, integrated with OpenAI Gym

    Roboschool is a set of open source robot simulation environments for reinforcement learning, created as an alternative to the Mujoco physics engine. It integrates with OpenAI Gym and provides a variety of continuous control tasks, including humanoid locomotion, quadrupeds, and robotic arms. The library is built on the Bullet Physics engine, making it accessible without the licensing requirements of Mujoco. Roboschool includes training scripts and examples for applying reinforcement learning algorithms to its environments. While the project has since been deprecated in favor of more modern frameworks, it remains historically significant as a bridge between early reinforcement learning research and scalable, open-access environments. ...
    Downloads: 0 This Week
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  • 6
    PyTorch-BigGraph

    PyTorch-BigGraph

    Generate embeddings from large-scale graph-structured data

    ...PBG supports multi-relation graphs (knowledge graphs) with relation-specific scoring functions, negative sampling strategies, and typed entities, making it suitable for link prediction and retrieval. Its training loop is built for throughput: asynchronous I/O, memory-mapped tensors, and lock-free updates keep GPUs and CPUs fed even at extreme scale. The toolkit includes evaluation metrics and export tools so learned embeddings can be used in downstream nearest-neighbor search, recommendation, or analytics. In practice, PBG’s design lets practitioners train high-quality graph embeddings.
    Downloads: 0 This Week
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  • 7
    NiftyNet

    NiftyNet

    An open-source convolutional neural networks platform for research

    ...NiftyNet’s modular structure is designed for sharing networks and pre-trained models. Using this modular structure you can get started with established pre-trained networks using built-in tools. Adapt existing networks to your imaging data. Quickly build new solutions to your own image analysis problems. NiftyNet currently supports medical image segmentation and generative adversarial networks. NiftyNet is not intended for clinical use.
    Downloads: 0 This Week
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  • 8
    Neural MMO

    Neural MMO

    Code for the paper "Neural MMO: A Massively Multiagent Game..."

    ...The environment is inspired by Massively Multiplayer Online Role-Playing Games (MMORPGs), featuring resource gathering, combat mechanics, exploration, and survival challenges. Agents learn behaviors in a shared ecosystem that supports long-term training and emergent dynamics across large populations. The project is built to test scalability in multi-agent reinforcement learning, with features such as procedurally generated terrain and configurable game mechanics. While the original release has since been succeeded by newer versions maintained outside OpenAI, it remains a landmark framework for studying large-scale agent interactions in complex environments.
    Downloads: 3 This Week
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  • 9

    pyindi-client

    Python binding to the libindi library

    ...This class could be used to build python scripts able to interact with indi servers using sendNew* methods and implementing new* methods of the BaseMediator class. PyQt applications may also be built on top of IndiClient, thus allowing rapid development of GUI Indi clients. Besides Python there are also bindings for node.js, Tcl (incomplete) and PHP (not useful). As application examples you will find a Python Websocket server with which you may build a web application interacting with Indi servers, and a simple PyQt application similar to the Kstars Indi Control Panel (was built as an exercise). ...
    Downloads: 0 This Week
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  • 10
    TF Quant Finance

    TF Quant Finance

    High-performance TensorFlow library for quantitative finance

    TF Quant Finance is a high-performance library of quantitative finance components built on TensorFlow, aimed at research and production workloads. It implements pricing engines, risk measures, stochastic models, optimizers, and random number generators that are differentiable and vectorized for accelerators. Users can value options and fixed-income instruments, simulate paths, fit curves, and calibrate models while leveraging TensorFlow’s jit compilation and automatic differentiation. ...
    Downloads: 0 This Week
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  • 11
    MMF

    MMF

    A modular framework for vision & language multimodal research

    ...MMF is designed from ground up to let you focus on what matters, your model, by providing boilerplate code for distributed training, common datasets and state-of-the-art pre-trained baselines out-of-the-box. MMF is built on top of PyTorch that brings all of its power in your hands. MMF is not strongly opinionated. So you can use all of your PyTorch knowledge here. MMF is created to be easily extensible and composable. Through our modular design, you can use specific components from MMF that you care about. Our configuration system allows MMF to easily adapt to your needs.
    Downloads: 0 This Week
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  • 12
    maskrcnn-benchmark

    maskrcnn-benchmark

    Fast, modular reference implementation of Instance Segmentation

    ...It supports multi-GPU distributed training, mixed precision, and custom data loaders for new datasets. Built as a reference implementation, it became a foundation for the next-generation Detectron2, yet remains widely used for research needing a stable, reproducible environment. Visualization tools, model zoo checkpoints, and benchmark scripts make it easy to replicate state-of-the-art results or fine-tune models for custom tasks.
    Downloads: 0 This Week
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  • 13
    Project Malmo

    Project Malmo

    A platform for Artificial Intelligence experimentation on Minecraft

    ...Project Malmo sets out to address these core research challenges, addressing them by integrating (deep) reinforcement learning, cognitive science, and many ideas from artificial intelligence. The Malmo platform is a sophisticated AI experimentation platform built on top of Minecraft, and designed to support fundamental research in artificial intelligence. The Project Malmo platform consists of a mod for the Java version, and code that helps artificial intelligence agents sense and act within the Minecraft environment. The two components can run on Windows, Linux, or Mac OS, and researchers can program their agents in any programming language they’re comfortable with.
    Downloads: 2 This Week
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  • 14
    vid2vid

    vid2vid

    Pytorch implementation of our method for high-resolution

    vid2vid is a deep learning framework for high-resolution video-to-video translation that generates photorealistic videos from structured inputs such as semantic maps, pose sequences, or edge maps. Built on top of image-to-image translation techniques like pix2pixHD, it extends these ideas into the temporal domain by ensuring consistency across video frames. The system can synthesize complex outputs such as realistic talking faces, human motion animations, or dynamic street scenes by learning temporal relationships between frames. ...
    Downloads: 2 This Week
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  • 15
    PyRobot

    PyRobot

    An Open Source Robotics Research Platform

    ...Instead of fighting ROS internals, you call clear methods for things like base navigation, arm manipulation, and camera capture, and PyRobot handles the plumbing. It was built to make research repeatable on accessible platforms—most notably low-cost mobile manipulators—while still scaling to richer hardware. The library exposes canonical abstractions (base, arm, gripper, camera, sensors) with calibration and kinematics helpers so beginners can get meaningful results quickly. It also plugs into simulation backends, letting you prototype perception and control algorithms before deploying on physical robots. ...
    Downloads: 0 This Week
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  • 16
    Drauger OS

    Drauger OS

    Ubuntu-based Linux Gaming OS

    ...From simple changes such as swapping Gnome out for the light-weight Xfce Desktop Environment and using a dark GTK theme by default, to more complex changes such as using a kernel compiled in-house and replacing PulseAudio with Pipewire. Drauger OS is built from the ground up with our primary focus on performance. DRAUGER OS IS NO LONGER PROVIDED FROM THIS SOURCE. CHECK OUT https://draugeros.org.
    Downloads: 0 This Week
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  • 17
    Imogen

    Imogen

    GPU Texture Generator

    ...It allows users to build complex material textures using a graph-based interface, combining operations like blending, noise, filters, and color correction in a non-destructive workflow. Built with Vulkan and ImGui, Imogen provides immediate visual feedback and supports GPU acceleration for high-resolution texture output. It's particularly useful in game development, VFX, and digital art where procedural workflows are valued for their flexibility and speed.
    Downloads: 1 This Week
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  • 18
    django-rest-auth

    django-rest-auth

    This app makes it extremely easy to build Django powered SPA's

    ...A well-built backend will result in a seamless user experience that scales as you grow. A poorly-built backend causes bugs, glitches and potential security issues.
    Downloads: 0 This Week
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  • 19
    Photon

    Photon

    Incredibly fast crawler designed for OSINT

    Photon is an extremely fast web crawler built specifically for OSINT and reconnaissance use cases. It is designed to extract URLs, endpoints, files, and other intelligence artifacts from target websites with minimal overhead. The crawler prioritizes speed and breadth, making it suitable for mapping web attack surfaces and discovering hidden resources. Photon is commonly used during early reconnaissance phases to build a comprehensive inventory of reachable assets.
    Downloads: 3 This Week
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  • 20
    Django REST Pandas

    Django REST Pandas

    Serves up Pandas dataframes via the Django REST Framework

    Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This...
    Downloads: 0 This Week
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  • 21
    Invenio

    Invenio

    Invenio digital library framework

    Invenio is a highly customizable open-source framework for building large-scale digital repositories and research data platforms. Developed by CERN, it is designed to manage, index, and provide access to metadata-rich content such as publications, datasets, and multimedia files. Invenio provides a modular architecture, making it suitable for libraries, archives, and research institutions.
    Downloads: 1 This Week
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  • 22
    oscp

    oscp

    multiplatform, small and handy audio/video player with network remote

    ...feats: - small and fast - zip/rar support - ncurses ui with easy navigation - gtk or classic winamp skins mode (with the ability to load random one) - network remotes (crossplatform linux/windows, written in pygtk, protocol is plain text, ie. easy to write own client) - scrobble (last.fm) - built-in equalizer and effects - lirc (remote) - slave libs statically compiled in (no deps) -- read more in wiki above
    Downloads: 2 This Week
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  • 23
    SSD

    SSD

    A PyTorch Implementation of Single Shot MultiBox Detector

    SSD is a PyTorch implementation of the Single Shot MultiBox Detector, a well-known object detection architecture introduced in the original SSD paper. It is built to help users train, evaluate, and experiment with object detection models using PyTorch rather than the original Caffe implementation. The repository includes the major components needed for an object detection workflow, including training scripts, evaluation scripts, demos, and utility modules. It supports commonly used benchmark datasets such as PASCAL VOC and MS COCO, and it also provides scripts to simplify downloading and setting up those datasets. ...
    Downloads: 0 This Week
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  • 24
    LibrePhotos

    LibrePhotos

    A self-hosted open source photo management service

    ...LibrePhotos supports a wide variety of media formats and provides a web interface that can be accessed from different devices and operating systems. The platform is built using a Django backend and a React frontend, forming a full-stack web application architecture.
    Downloads: 1 This Week
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  • 25
    ATX

    ATX

    Smart phone automation tool. Support iOS, Android, WebApp and game

    ATX (AutomatorX) is an open source automated testing tool that supports testing native applications, games, and Web applications on iOS and Android platforms. Use Python to write test cases, and use image recognition and control positioning technology to complete the automation of the game. Attach a dedicated IDE to complete scripting quickly. The libraries for Android and iOS native application testing have been separated and can be used alone (it is strongly recommended to use it alone,...
    Downloads: 3 This Week
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